Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Principal Engineer, Messaging, Platforms and Devices Principal Engineer role focused on defining the architectural roadmap for the Google Messages platform and leading the internal AI transformation by integrating generative AI, autonomous coding agents, and automated workflows to accelerate developer velocity. This role involves technical leadership, mentoring, and evolving software development practices. | Agent | 7 |
| Staff Software Engineer, Agentic AI Staff Software Engineer role focused on developing Agentic AI experiences, leveraging LLMs and Reinforcement Learning, within Google's Core team. The role involves influencing and designing initiatives for Enterprise Knowledge Platform and Gemini Enterprise, collaborating with Deepmind. | Agent | 7 |
| Senior Software Engineer, AI/ML, Sensor Fusion, XR Senior Software Engineer role focused on developing and implementing machine learning models for real-time wear detection on consumer XR glasses. The role involves the full development lifecycle, from requirements to implementation, with a focus on power efficiency and accuracy on resource-constrained hardware. Collaboration with cross-functional teams is key. | Serve | 7 |
| Applied AI Staff Software Engineer, Looker Staff Software Engineer to lead the integration of AI and LLMs into the Looker data visualization and dashboarding platform, aiming to automate insights, enhance data storytelling, and build business intelligence experiences. | ShipAgent | 7 |
| Senior Product Technology Manager, Cloud Support on Gemini Product Technology Manager role focused on defining and executing the product strategy for AI-driven customer support experiences using agentic systems. The role involves conceptualizing, developing, and launching these systems, owning product requirements, and acting as a subject matter expert on technical knowledge for the support organization. | Agent | 7 |
| Software Engineer, Generative AI Blackbelt, Google Cloud Platform Software Engineer role focused on Google Cloud's Generative AI offerings, supporting customers in leveraging AI and LLM APIs to build their own AI products. This involves understanding customer needs, providing AI expertise, recommending integration strategies, and supporting developers. | Ship | 7 |
| Technical Lead, Machine Learning, Google Play Technical Lead for Machine Learning in Google Play, focusing on improving AI features using Gemini prompts, computer vision, and experimental validation. The role involves designing and building infrastructure for AI response quality and collaborating with research teams. | AgentEval Gate | 7 |
| Staff Software Engineer, TPU Machine Learning Supercomputer Staff Software Engineer role focused on designing and developing system software for TPU Machine Learning Supercomputers, improving scalability and reliability of large-scale software across distributed hardware. The role involves working on various software layers, from host daemons to network routing, and developing analytics for managing ML systems. Experience with C++, Go, distributed systems, and ML applications is required. | Serve | 7 |
| Team Lead, Mobile App, Ads, Serving, AI Focused This role is for a Team Lead focused on Mobile App Ads, specifically within a Serving and AI-focused context at Google. The position involves writing and testing product/system development code, collaborating on design and code reviews, triaging and debugging issues, and designing/implementing solutions in specialized ML areas leveraging ML infrastructure. The role requires experience with software development, testing, maintenance, launch, design, and architecture, with a specific emphasis on ML infrastructure, speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Manager, Content Adversarial Red Team Manager for the Content Adversarial Red Team (CART) responsible for leading a team that conducts adversarial red teaming on Google's generative AI products to uncover loss patterns and ensure product safety. The role involves interfacing with stakeholders, reviewing analytic products, and leveraging AI augmentation for process improvement. | Eval Gate | 7 |
| Associate Principal Analyst, Content Adversarial Red Team This role focuses on identifying and mitigating emerging content safety risks within Google's Generative AI products. The analyst will develop strategies to uncover novel threats and vulnerabilities, partner with product and engineering teams to implement solutions, and shape internal programs for AI safety. The role involves adversarial testing and advocating for AI safety initiatives. | Eval Gate | 7 |
| Software Engineer III, Knowledge Catalog For AI Software Engineer III role focused on building the Knowledge Catalog, a foundational context engine for AI and AI agents. The role involves designing and implementing features for agentic workflows, catalog infrastructure, and metadata enrichment, with a focus on enabling AI agents to reason and act on enterprise data. Experience with applied AI/ML and GenAI technologies is required, along with software development and large-scale infrastructure experience. | Agent | 7 |
| Software Engineer, Generative AI, Search Ads Personalization Software Engineer role focused on Generative AI for Search Ads Personalization. Responsibilities include writing and testing code, building model and architectural components for ad personalization, and implementing GenAI solutions using ML infrastructure. Requires experience with recommendation systems, ML infrastructure, and core GenAI concepts. | ShipServe | 7 |
| Principal Engineer, Health (Search Vertical) Principal Engineer for Google Search's Health vertical, focusing on technical strategy, architecture, and product integration. The role involves driving core quality, factuality, and helpfulness of health information, with a strong emphasis on user trust, safety, and regulatory compliance. It requires deep expertise in ML/AI algorithms, distributed systems, and influencing cross-functional teams, including Google DeepMind. | Ship | 7 |
| XR Audio Face Tracking ML Software Engineer Software Engineer focused on developing and optimizing ML models for real-time facial motion tracking on low-power XR devices, working with multimodal inputs and production pipelines. | ServePost-train | 7 |
| Senior Software Engineering Manager, Flume ML Senior Software Engineering Manager for Google Cloud's Flume ML team, focusing on leading a team to enhance a data processing infrastructure product. The role involves advancing scheduleability and auto-tuning capabilities critical for ML pipelines and standard data workloads, bridging infrastructure and product needs, and potentially leading research into AI-driven optimization strategies. | ServeData | 7 |
| AI Robotics Product Manager Product Manager for Google's Data Center Software team, focusing on leveraging robotics and AI/ML to accelerate data center capacity delivery and maintenance. The role involves defining product strategy, leading the product lifecycle, and collaborating with engineering, research, and operations teams to deliver robotics solutions for physical operations within data centers. | ShipAgent | 7 |
| Generative AI Specialist, Google Cloud Role is a customer-facing Generative AI Specialist for Google Cloud, focusing on helping customers understand and leverage Google's AI products, including LLMs and TPUs. Responsibilities include identifying opportunities, resolving technical objections, providing AI expertise, designing architectures, and supporting developers in building AI products. Requires experience with LLMs, ML, and cloud environments, and working with Generative AI Agents. | Agent | 7 |
| Health and Home UX AI Transformation Lead Lead UX AI transformation for Health and Home, bridging design and machine intelligence to evolve the organization into an AI-native design team. Guide partners through technical shifts, redefining collaboration and value delivery using UX mastery and AI literacy. Focus on next-generation user experiences, proactive, agentic, and personalized interactions, and integrating AI into the PDLC. | Agent | 7 |
| Applied ML and Backend Software Engineer Software Engineer at Google Ads focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing, with experience in agentic AI. | AgentData | 7 |
| Staff Software Engineer, Cloud ML Compute Services (Mandarin, English) Staff Software Engineer focused on optimizing AI/ML model performance on Google Cloud infrastructure, including training and inference workloads. The role involves partnering with customers, collaborating with internal teams, and developing training materials, with a strong emphasis on debugging and troubleshooting ML infrastructure. | ServePost-train | 7 |
| Senior Software Engineer, Head Tracking, Beam, AI/ML Senior Software Engineer for Google Beam, focusing on AI/ML for head tracking. The role involves defining and owning the end-to-end strategy and roadmap for evaluating head tracking performance and robustness. Responsibilities include leading the development of evaluation infrastructure, collaborating with algorithm teams for improvements, designing testing scenarios, and working with cross-functional partners. Requires experience in C++, Python, and building evaluation systems for real-time systems like 3D tracking, robotics, or AR/VR, with a preference for ML frameworks and model evaluation experience. | Eval GateAgent | 7 |
| Business Data Scientist, Customer Voice, Analytics This role focuses on developing and deploying NLP and machine learning models to extract insights from customer conversations for a Go-to-Market team within Google's Ads product. The data scientist will identify trends, cluster feedback, predict customer behaviors, and ensure statistical rigor in reporting. The role involves designing, training, and deploying models, building predictive models, applying statistical methods, and communicating findings to leadership. | Post-trainAgent | 7 |
| Software Engineer, Apps, Video and Display Modeling Infrastructure Software Engineer role focused on building and improving modeling infrastructure for Google Ads, supporting user data collection, model training, feature iteration, inference, and serving. The role involves building infrastructure to enhance dev velocity and resource efficiency in ad personalization modeling, and assisting ML teams with onboarding the latest modeling infrastructure. | ServeData | 7 |
| Group Product Manager, Search AI Security Product Manager role focused on AI Security within Google Search, leveraging generative AI and threat intelligence to protect the platform and users. Responsibilities include defining product strategy, driving AI security awareness, managing the product lifecycle for security initiatives, and collaborating with R&D to deliver AI-powered security features. | Ship | 7 |
| Senior Technical Program Manager, Google Cloud Applied AI, Capacity Management Senior Technical Program Manager role focused on managing critical infrastructure capacity for Google Cloud Applied AI (AAI) products, including agent-based solutions and Gemini Enterprise. The role involves designing and operationalizing capacity planning processes, collaborating with cross-functional teams, and ensuring resource constraints do not hinder program velocity for enterprise customers. | ServeAgent | 7 |
| Senior Data Engineer, Product Analytics, Payments Senior Data Engineer role focused on building agentic analytics systems using LLMs and AI for Google's Payments product. The role involves designing and implementing AI-native data pipelines, automating insight generation, and partnering with Product, Data Science, and Engineering teams to deliver solutions. Requires strong Python, SQL, data pipeline, and ML operations experience, with a preference for AI/LLM systems and agentic workflows. | AgentData | 7 |
| Software Engineer III, AI Powered Rust Software Engineer III role focused on building and leveraging AI, specifically agentic workflows, to automate the migration of C/C++ codebases to Rust. The role involves optimizing AI-generated code, implementing verification workflows, and designing multi-agent harnesses for code translation and analysis. | Agent | 7 |
| Director, Data Science, Verticals, Gemini App, DeepMind Director of Data Science for Gemini App's Verticals (Health, Education, Shopping) at Google DeepMind. Responsible for leading AI algorithms and product strategy, driving a holistic measurement framework, and developing personalization insights to enhance user growth and product success. Focuses on translating AI development into long-term product value. | Ship | 7 |
| Director, Strategic Projects, Public Engagement Lab Leadership role focused on strategic foresight and creative execution of AI/AGI futures, working with research teams to articulate capabilities, benefits, and risks, and overseeing the creation of experiences, simulations, and prototypes for external and internal stakeholders across various domains. | Agent | 7 |
| Manufacturing Test Development Engineer This role focuses on developing and deploying manufacturing test solutions for new ML products, ensuring their quality and reliability at scale. The engineer will work on custom silicon for AI infrastructure, partnering with design teams, managing test station bring-up at contract manufacturers, and analyzing manufacturing data to improve test processes and support root-cause failure analysis. The role is critical for enabling the scaling of Google's AI infrastructure. | Ship | 7 |
| Senior Software Engineering Manager, Core, engEDU This role is for a Senior Software Engineering Manager to lead teams focused on embedding AI into Google's internal engineering education curriculum. The manager will provide technical leadership for major projects, manage project goals, contribute to product strategy, and develop their team. Key responsibilities include setting team priorities, providing feedback and coaching, developing long-term technical roadmaps, overseeing systems designs, and driving technical project strategy for ML infrastructure optimization and GenAI solutions. The role requires significant experience in software development, technical leadership, people management, ML infrastructure optimization, and GenAI techniques. | ServeAgent | 7 |
| Senior Software Engineer, GenAI GCP Security Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud, leveraging ML infrastructure and evaluating tradeoffs. Requires experience with Python/C++, ML infrastructure, and Generative AI techniques. | Agent | 7 |
| Software Engineer II, Cloud AI/ML Software Engineer II role at Google Cloud focusing on AI/ML, involving product/system development, ML concept implementation, and deployment on cloud infrastructure. Requires experience with core ML concepts and software development. | Serve | 7 |
| AI Solutions Engineer, GenAI Applications, Global Business Consulting This role focuses on building and operationalizing Generative AI solutions, specifically LLM-based agents and applications, using techniques like RAG and fine-tuning. It involves designing and maintaining data pipelines, implementing full-stack GenAI applications, and adhering to MLOps standards for production deployment. | AgentData | 7 |
| Senior Technical Program Manager, Google Cloud Applied AI, Agent Assist Senior Technical Program Manager for Google Cloud Applied AI, focusing on Agent Assist solutions for enterprise customers. This role involves leading end-to-end program lifecycles, managing cross-functional teams, and driving the delivery of generative AI products in a fast-paced environment. | Agent | 7 |
| Post-Training Technical Program Manager, GenAI, DeepMind Technical Program Manager for GenAI at DeepMind, focusing on post-training AI development. The role involves leading complex, cross-functional programs, translating AI concepts into strategic plans, managing stakeholders, and ensuring project delivery. Requires strong technical acumen and experience in leading engineering projects. | Post-train | 7 |
| Software Engineer III, AI/ML, Content Safety Software Engineer III, AI/ML, Content Safety role at Google focuses on developing and implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Minimum qualifications include software development experience and experience with speech/audio, reinforcement learning, ML infrastructure, model deployment, evaluation, optimization, or data processing. | Serve | 7 |
| Technical Program Manager III, Google Cloud Applied AI Technical Program Manager III for Google Cloud Applied AI, focusing on Gemini Enterprise solutions for customer experience. The role involves leading complex technical programs from inception to delivery, driving operational clarity, and partnering with engineering and product leadership to streamline processes and implement tooling efficiencies. Requires experience with Generative AI or Agentic Technologies and managing the lifecycle of GenAI products. | Agent | 7 |
| AML Transaction Monitoring Analyst This role focuses on building and optimizing an AML transaction monitoring program within Google Payments. It involves designing, implementing, and tuning rules and machine learning models, automating workflows, and integrating AI capabilities to enhance fraud and financial crime detection. The role also includes building reporting dashboards and using AI agents/LLMs for pattern identification. | AgentData | 7 |
| Software Engineer III, AI/ML, Google Workspace Google is seeking a Software Engineer III for their AI/ML team within Google Workspace. This role focuses on developing AI-powered features for productivity tools like Gmail, Docs, and Meet, impacting billions of users. The engineer will write product/system code, collaborate on design and reviews, contribute to documentation, triage issues, and implement ML solutions using ML infrastructure, focusing on model optimization and data processing. The role requires experience in Python/C++, ML infrastructure, and at least one ML specialization like speech/audio, reinforcement learning, or ML infrastructure. | Ship | 7 |
| Customer Engineer, Generative AI (English, Portuguese) Customer Engineer specializing in Generative AI for Google Cloud, focusing on advising enterprise clients, developing AI solutions, conducting proofs-of-concept, and guiding the implementation of scalable AI applications. Requires strong technical, communication, and programming skills, with experience in agentic AI frameworks and integrating AI APIs. | Agent | 7 |
| Software Engineer III, AI/ML, Google Cloud, Automotive Software Engineer III role at Google Cloud focusing on AI/ML within the Automotive sector. The role involves writing product/system development code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing solutions in specialized ML areas. Key responsibilities include utilizing ML infrastructure, contributing to model optimization, and data processing. Minimum qualifications include experience in software development and specific ML fields like speech/audio, reinforcement learning, or ML infrastructure. | Serve | 7 |
| Software Engineer II, AI/ML Software Engineer II, AI/ML at Google Cloud, focusing on developing and deploying AI/ML solutions for enterprise needs, including AI safety and cloud infrastructure integration. | Serve | 7 |
| Technical Lead, Native Commerce Integrations Technical Lead role focused on building the foundational protocol and API layer for AI agents to interact with commerce back ends. This involves designing schemas, developing AI commerce experiences on Google surfaces, building native integrations, and ensuring trust and safety for agentic transactions. The role also involves leading a team of engineers, driving technical strategy, and contributing to the codebase. | AgentServe | 7 |
| Software Engineering Manager, Commerce Shopping Quality Journey Orchestration Manage a team focused on orchestrating AI quality within Google Shopping, leveraging LLM-based autoraters for user metric proxies and driving improvements through advanced response orchestration. | Agent | 7 |
| Data and AI Consultant This role involves providing expert advisory and technical leadership for Google Cloud clients in Sub-Saharan Africa, focusing on modernizing infrastructure and achieving business objectives through cloud adoption. The consultant will architect and deploy Agentic platforms, lead AI initiatives, design robust architectural solutions for agentic implementations, and deliver big data and machine learning solutions. They will also influence the roadmap of Google Cloud Platform by identifying new product features and collaborating with Product Managers and Engineers. The role requires experience with LLMs, enterprise AI platforms, and cloud data platforms, with a focus on Python, Scala, or R. | Agent | 7 |
| Staff Software Engineer Staff Software Engineer at Google, leading a team to build the foundational text and multimodal understanding layer for AI relevance, grounding, and factuality in search experiences. The role involves people management and direct technical contributions to entity grounding systems and evaluation frameworks. | AgentEval Gate | 7 |
| Product Manager II, YouTube Shorts Effects and AI Product Manager for YouTube Shorts Effects, focusing on Augmented Reality and Generative AI capabilities. Responsibilities include owning the end-to-end roadmap, defining strategy for first-party and branded effects, and pioneering agentic workflows for effect production and automation. The role involves working at the intersection of product, marketing, and culture to enhance creative expression for millions of creators. | AgentData | 7 |
| Staff Software Engineer, Gemini Enterprise Mobile Staff Software Engineer role focused on building the Gemini Enterprise mobile application for iOS and Android. This role involves integrating Gemini's reasoning and enterprise data to create a platform for enterprise search, assistants, and agents, enabling users to interact with internal systems, summarize information, generate content, and take actions. The focus is on horizontal use cases spanning multiple industries and building reusable components for enterprise customers. | Agent | 7 |
